Daniel J. Kota

23 total papers · 2.8k total citations
17 papers, 2.2k citations indexed

About

Daniel J. Kota is a scholar working on Genetics, Neurology and Surgery. According to data from OpenAlex, Daniel J. Kota has authored 17 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Genetics, 7 papers in Neurology and 6 papers in Surgery. Recurrent topics in Daniel J. Kota's work include Mesenchymal stem cell research (13 papers), Traumatic Brain Injury and Neurovascular Disturbances (7 papers) and Tissue Engineering and Regenerative Medicine (5 papers). Daniel J. Kota is often cited by papers focused on Mesenchymal stem cell research (13 papers), Traumatic Brain Injury and Neurovascular Disturbances (7 papers) and Tissue Engineering and Regenerative Medicine (5 papers). Daniel J. Kota collaborates with scholars based in United States and Indonesia. Daniel J. Kota's co-authors include Darwin J. Prockop, Laura Semprun‐Prieto, Ryang Hwa Lee, А. А Пулин, Benjamin L. Larson, Patrice Delafontaine, Joni Ylöstalo, Min Jeong Seo, Nikolay Bazhanov and Roxanne L. Reger and has published in prestigious journals such as Diabetes, Scientific Reports and Cell stem cell.

In The Last Decade

Daniel J. Kota

16 papers receiving 2.2k citations

Hit Papers

Intravenous hMSCs Improve... 2009 2026 2014 2020 2009 400 800 1.2k

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Daniel J. Kota 1.5k 799 686 270 257 17 2.2k
Nikolay Bazhanov 1.4k 1.0× 848 1.1× 662 1.0× 334 1.2× 284 1.1× 18 2.3k
Laura Semprun‐Prieto 1.1k 0.7× 601 0.8× 801 1.2× 222 0.8× 185 0.7× 11 2.1k
Aline M. Betancourt 1.2k 0.8× 626 0.8× 528 0.8× 278 1.0× 322 1.3× 21 1.9k
А. А Пулин 1.6k 1.1× 1.0k 1.3× 845 1.2× 295 1.1× 215 0.8× 51 2.5k
Thomas J. Bartosh 1.4k 0.9× 830 1.0× 983 1.4× 188 0.7× 234 0.9× 26 2.5k
Marc H. Dahlke 1.3k 0.9× 1.0k 1.3× 696 1.0× 252 0.9× 349 1.4× 54 2.5k
Alissa Parmelee 1.4k 1.0× 608 0.8× 616 0.9× 456 1.7× 443 1.7× 7 2.2k
Yoon Sun Yang 1.3k 0.9× 803 1.0× 739 1.1× 445 1.6× 167 0.6× 52 2.4k
Jeong Chan 1.8k 1.2× 973 1.2× 874 1.3× 132 0.5× 160 0.6× 43 3.1k
Reiner Class 1.7k 1.1× 783 1.0× 876 1.3× 195 0.7× 144 0.6× 32 2.7k

Countries citing papers authored by Daniel J. Kota

Since Specialization
Citations

This map shows the geographic impact of Daniel J. Kota's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Daniel J. Kota with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel J. Kota more than expected).

Fields of papers citing papers by Daniel J. Kota

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel J. Kota. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Daniel J. Kota. The network helps show where Daniel J. Kota may publish in the future.

Co-authorship network of co-authors of Daniel J. Kota

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel J. Kota. A scholar is included among the top collaborators of Daniel J. Kota based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Daniel J. Kota. Daniel J. Kota is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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